Created
April 21, 2016 10:07
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| MultiLayerConfiguration conf = new NeuralNetConfiguration.Builder() | |
| .seed(seed) | |
| .iterations(1) | |
| .optimizationAlgo(OptimizationAlgorithm.STOCHASTIC_GRADIENT_DESCENT) | |
| .learningRate(learningRate) | |
| .updater(Updater.NESTEROVS).momentum(0.9) | |
| .list(2) | |
| .layer(0, new DenseLayer.Builder().nIn(numInputs).nOut(numHiddenNodes) | |
| .weightInit(WeightInit.XAVIER) | |
| .activation("relu") | |
| .build()) | |
| .layer(1, new OutputLayer.Builder(LossFunction.NEGATIVELOGLIKELIHOOD) | |
| .weightInit(WeightInit.XAVIER) | |
| .activation("softmax") | |
| .nIn(numHiddenNodes).nOut(numOutputs).build()) | |
| .pretrain(false).backprop(true).build(); | |
| MultiLayerNetwork model = new MultiLayerNetwork(conf); | |
| model.init(); | |
| model.setListeners(new ScoreIterationListener(1)); |
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Pre:
[[50.44,50.07,50.54,50.05,0.00,50.44,50.44,50.44,50.44,50.44,50.44,50.44,50.44,50.44,50.44,0.00,0.00,0.00,0.00]
[50.07,50.54,50.71,49.91,0.00,50.07,50.26,50.26,50.26,50.26,50.26,50.26,50.26,50.26,50.26,1.00,0.00,0.00,0.00]
[50.04,50.30,50.34,49.59,0.00,50.04,50.18,50.18,50.18,50.18,50.18,50.18,50.18,50.18,50.18,2.00,0.00,0.00,0.00]
[49.59,49.46,49.96,49.36,0.00,49.59,49.90,50.03,50.03,50.03,50.03,50.03,50.03,50.03,50.03,3.00,0.00,0.00,0.00]
Post normalizeZeroMeanZeroUnitVariance:
[[-0.20,-0.31,-0.32,-0.16,0.00,-0.20,-0.19,-0.16,-0.15,-0.11,-0.08,-0.00,0.33,1.08,1.08,-1.39,-0.97,-1.18,�]
[-0.31,-0.16,-0.26,-0.20,0.00,-0.31,-0.25,-0.22,-0.21,-0.18,-0.15,-0.08,0.21,0.86,0.86,-0.97,-0.97,-1.18,�]
[-0.32,-0.24,-0.38,-0.30,0.00,-0.32,-0.27,-0.24,-0.23,-0.21,-0.18,-0.11,0.16,0.77,0.77,-0.55,-0.97,-1.18,�]